CRAN . R-PROJECT . ORG {}

Matching Content Categories {📚}

• Non-Profit & Charity
• Family & Parenting
• Photography

Content Management System {📝}

What CMS is cran.r-project.org built with?

Website use litedown 0.7.

Traffic Estimate {📈}

What is the average monthly size of cran.r-project.org audience?

🌌 Gigantic Traffic: 2M - 5M visitors per month


Based on our best estimate, this website will receive around 3,356,070 visitors per month in the current month.

check SE Ranking
check Ahrefs
check Similarweb
check Ubersuggest
check Semrush

How Does Cran.r-project.org Make Money? {💸}

The income method remains a mystery to us.

While many websites aim to make money, others are created to share knowledge or showcase creativity. People build websites for various reasons. This could be one of them. Cran.r-project.org might be cashing in, but we can't detect the method they're using.

Keywords {🔍}

dobchild, int, child, columns, familyid, agemother, gender, idat, melt, dob, num, dtm, dcast, measurevars, column, datatables, data, variable, measure, char, multiple, format, setosa, virginica, functionality, idate, fctr, wide, long, datatable, sepal, length, width, petal, default, straightforward, variables, idvars, meltdt, result, operation, valuevar, number, function, genderchild, part, groups, melting, simultaneously, attr,

Topics {✒️}

perl-compatible regular expression previous melt/dcast approaches automatically named variable child string values gender type columns identify single observation m3 = melt na na provide multiple functions computationally involved operation multiple columns simultaneously fast radix ordering provide regular expressions age_mother data sets directly width petal reshaping functions melt length petal length sepal column names split child observations ymax=function numeric output columns gender columns performing operations efficiently m2 = melt family_id family_id ~ regular expression data set dt provide multiple dob columns integer argument means multiple functions variable column set variable preserve attributes dob_child3 vars simultaneously regular names regular structure original data multiple columns separate observation previous section values defined flower part automatically considered type factor output columns

Questions {❓}

• Check ?
• Check the examples in ?
• M1, how can we get the number of children in each family?
• M2 as shown above, how can we get back to the same format as the original data we started with?
• Vars are specified, as mentioned under ?

External Links {🔗}(2)

• What's the income generated by https://rdatatable.gitlab.io/data.table/articles/fr/datatable-reshape.html each month?
• Revenue of https://rdatatable.gitlab.io/data.table/articles/ru/datatable-reshape.html

Libraries {📚}

• Prism.js

CDN Services {📦}

• Jsdelivr